Characterization of homogeneous zones and identification of underlying factors in the configuration of the urban logistics in the Last Mile of the city of Córdoba, Argentina
Abstract
Cities have different characteristics; in consequence, they use distinct policy measures that bring different associated impacts (Alho, 2015). The purpose of this paper is to apply a data-driven methodology to identify clusters to build Cordoba´s urban logistics policy and best practice decisions. This work constitutes a first experience of classification of homogeneous areas with these methodologies and it is limited to a square kilometer, in the neuralgic center of the city, completely inside the restriction zone for heavy-duty vehicles. The methodology uses relevant variables for urban logistics - number of establishments, traffic lights, buildings, parcels and location inside the km2 area - to perform two statistical analysis: Factor and Analysis of Variance (ANOVA). Preliminary results suggest a clear relationship between the different commercial activities and the location inside the area, as a basis for further urban logistic analyses and implementation of best practices.